Best AI for business: 410 models ranked by blind votes
Prompts about business, management and finance work. Ranked by LMArena’s blind votes, every score with its margin of error and, beside it, the list price of each model on our price list.
Scores from LMArena, published 20 October 2026, under CC BY 4.0. Prices from each maker’s pricing page, read on 15 October 2026.
- Models ranked
- 410
- Level with the leader
- 10
- On our price list
- 1
- Published
- 20 October 2026
Level: the votes cannot separate it from the leader.
On LMArena’s Business board, Gemini 4 Argon (High) from Google leads with 1521 points from 890 blind votes, published 20 October 2026. 9 other models are statistically level with it. None of the models it ranks has an API price on our list yet.
Best AI for business
Prompts about business, management and finance work.
| # | Model | Score | Votes | Per 1M tokens, in / out |
|---|---|---|---|---|
| 1 | Gemini 4 Argon (High)Google | 95% interval 1500 to 1541 | 890 | · |
| 1 | Claude Opus 4.7 (High)Anthropic | 95% interval 1501 to 1514 | 13,038 | · |
| 1 | Muse Spark 1.2 (xHigh)Meta | 95% interval 1488 to 1517 | 1,717 | · |
| 1 | Claude Fable 5 (High)Anthropic | 95% interval 1494 to 1508 | 8,582 | · |
| 1 | Muse Spark 1.3 (Max)Meta | 95% interval 1491 to 1512 | 3,484 | · |
| 1 | Claude Opus 4.6 (High)Anthropic | 95% interval 1494 to 1505 | 16,179 | · |
| 1 | Claude Opus 4.6Anthropic | 95% interval 1494 to 1505 | 17,206 | · |
| 1 | Muse Wonder (Max)Meta | 95% interval 1479 to 1518 | 868 | · |
| 1 | Claude Opus 4.7Anthropic | 95% interval 1489 to 1502 | 13,238 | · |
| 1 | Claude Opus 5.5 (High)Anthropic | 95% interval 1476 to 1506 | 1,675 | · |
| 2 | Muse SparkMeta | 95% interval 1478 to 1501 | 2,864 | · |
| 2 | GPT-6.1 Sol (Max)OpenAI | 95% interval 1466 to 1501 | 1,186 | · |
| 3 | Muse Spark 1.1Meta | 95% interval 1484 to 1498 | 8,494 | · |
| 3 | GPT-5.5 (High)OpenAI | 95% interval 1484 to 1496 | 13,713 | · |
| 3 | Claude Opus 4.8 (High)Anthropic | 95% interval 1483 to 1495 | 12,740 | · |
| 3 | Kimi K3 (Max)Moonshot AI · open weights | 95% interval 1480 to 1496 | 6,431 | · |
| 3 | GPT-5.6 Sol (xHigh)OpenAI | 95% interval 1480 to 1495 | 7,692 | · |
| 3 | Claude Fable 5.1 (Max)Anthropic | 95% interval 1475 to 1497 | 2,823 | · |
| 6 | Claude Opus 4.8Anthropic | 95% interval 1480 to 1492 | 12,770 | · |
| 6 | Claude Opus 5 (High)Anthropic | 95% interval 1479 to 1492 | 12,999 | · |
| 6 | GPT-5.5OpenAI | 95% interval 1479 to 1492 | 14,097 | · |
| 6 | Qwen3.8-MaxAlibaba | 95% interval 1476 to 1493 | 5,415 | · |
| 6 | GPT-5.2 Chat (20260210)OpenAI | 95% interval 1477 to 1492 | 7,020 | · |
| 6 | Claude Opus 5 (Max)Anthropic | 95% interval 1476 to 1493 | 6,236 | · |
| 6 | Gemini 3.7 Flash (High)Google | 95% interval 1475 to 1492 | 5,302 | · |
| 6 | Claude Sonnet 5.5 (xHigh)Anthropic | 95% interval 1460 to 1493 | 1,388 | · |
| 7 | DeepSeek-V4.1-Flash-20260910 (Max)DeepSeek · open weights | 95% interval 1465 to 1489 | 2,360 | · |
| 8 | Claude Sonnet 4.6Anthropic | 95% interval 1476 to 1488 | 14,061 | · |
| 8 | GPT-5.4 (High)OpenAI | 95% interval 1475 to 1488 | 13,091 | · |
| 8 | Gemini 3.8 Flash (High)Google | 95% interval 1473 to 1489 | 7,528 | · |
| 9 | GPT-5.5 InstantOpenAI | 95% interval 1467 to 1485 | 5,681 | · |
| 9 | GPT-6 Astra (Max)OpenAI | 95% interval 1462 to 1487 | 2,328 | · |
| 11 | Gemini 3.1 Pro PreviewGoogle | 95% interval 1473 to 1483 | 25,105 | · |
| 11 | ERNIE 5.1Baidu | 95% interval 1467 to 1483 | 7,817 | · |
| 11 | GLM-5.3 (Max)Z.ai · open weights | 95% interval 1464 to 1483 | 4,407 | · |
| 12 | Gemini 3 ProGoogle | 95% interval 1467 to 1481 | 7,736 | · |
| 12 | GPT-5.4OpenAI | 95% interval 1467 to 1480 | 13,839 | · |
| 12 | Gemini 3.6 Flash (High)Google | 95% interval 1465 to 1481 | 6,833 | · |
| 12 | DeepSeek-V4-Pro (High, 20260813)DeepSeek · open weights | 95% interval 1453 to 1481 | 1,804 | · |
| 19 | Claude Opus 4.5 (20251101)Anthropic | 95% interval 1466 to 1478 | 14,097 | · |
| 19 | MiMo-V2.5-ProXiaomi · open weights | 95% interval 1465 to 1477 | 14,831 | · |
| 19 | GLM-5.3-FlashZ.ai · open weights | 95% interval 1462 to 1478 | 6,577 | · |
| 19 | Grok 4.20 Beta 1xAI | 95% interval 1461 to 1478 | 5,365 | · |
| 20 | Gemini 3 FlashGoogle | 95% interval 1461 to 1477 | 5,765 | · |
| 26 | Gemini 3.5 Flash (High)Google | 95% interval 1461 to 1475 | 9,395 | · |
| 26 | Claude Opus 4.5 (High, 32K, 20251101)Anthropic | 95% interval 1460 to 1475 | 7,028 | · |
| 27 | GPT-5.6 Terra (xHigh)OpenAI | 95% interval 1460 to 1474 | 8,383 | · |
| 28 | GLM-5.2 (Max)Z.ai · open weights | 95% interval 1459 to 1473 | 9,744 | · |
| 28 | Grok 4.5xAI | 95% interval 1458 to 1473 | 7,609 | · |
| 29 | Grok 4.20 Beta (Reasoning, 0309)xAI | 95% interval 1459 to 1472 | 13,355 | · |
| Further down the board: the other models on our price list | ||||
| 192 | gpt-oss-120bOpenAI · open weights | 95% interval 1344 to 1361 | 5,358 | · |
Where the ranking comes from
The scores, intervals and ranks are LMArena’s. The prices are ours.
- Blind votes
- LMArena puts the same prompt to two anonymous models and asks the person who wrote it to pick the better answer. The votes place every model on one scale, where a gap of 100 points means the higher model wins about 64 times in 100.
- Style control
- The scores discount answer length and formatting, so a model does not climb by writing more or by adding headings and lists.
- Shared ranks
- A model’s rank is one plus the number of models whose whole 95% interval sits above its own. Models the votes cannot separate share a rank, which is why several can be first.
- Settings
- A model can appear more than once, at different reasoning settings: the line under its name gives the entry as LMArena lists it. Entries with web search switched on are a different product and carry no price.
- Prices
- The list price per million tokens from the maker’s own pricing page, read on 15 October 2026. It is a price per token, not per answer: a higher reasoning setting spends more tokens on the same question.
Source: LMArena, leaderboard dataset (revision 9041150e, published 20 October 2026), licensed under CC BY 4.0. We change no score: we add the prices and the links to our model pages.
What each of them costs to run
The price list works three everyday jobs on every model, and our own benchmark runs them on real business tasks to see which pass.
Scores published 20 October 2026